Weak or manual product recommendations
Better product recommendations, live across your site in two months
Ecommerce brands see conversion and AOV gains within two months of switching to Maestra Platform, the marketing personalization platform staffed with a dedicated forward-deployed marketer for every account.
Brands running on Maestra
The problem
Your recommendation widget doesn't know what it's looking at
Basic "you might also like" widgets show the same popular items to everyone, regardless of what a customer is actually viewing. When the engine can't read product attributes like color, size, or material, it recommends the wrong variant, the wrong fit, or an item that's already out of stock.
What we hear from brands
an ethically sourced jewelry brand needs better website and email personalization to lift conversions and cross-sell new jewelry lines
a leather handbag brand says its current product recommendations are static and not predictive
a premium womenswear brand calls its merchandising functionality damagingly bad, relying on manual picks instead of algorithmic intelligence
The new way
Matching that understands color, size, and material, not just category
Instead of grouping products by broad category, Maestra reads full product attributes so a red bikini top surfaces its matching bottom in the same size, material, and cut. Out-of-stock sizes are filtered out automatically, so customers never hit a dead end.
Customer proof
Furniture Fair cut stack costs 27% after its recommendations stopped underwhelming
A disjointed marketing stack, including a weak on-site recommendation tool, was slowing revenue growth despite heavy investment. Furniture Fair consolidated five separate tools into Maestra's all-in-one platform, completing the Shopify integration and campaign migration in three months.
“Maestra isn’t just a vendor, they’re part of my team.”
7,543%
ROI from Maestra
27%
reduction in marketing stack costs
How it works
How the switch to Maestra actually works
You grant access
Give your Maestra forward-deployed marketer access to your current stack and approve the migration plan. That is the extent of the lift on your side.
Your old stack stays live
Nothing goes dark. Your existing tools keep running while your marketer rebuilds data, flows, and campaigns behind the scenes, including domain warm-up for deliverability.
You go live on your timeline
Growing brands are typically ready in two to four weeks. Complex, nine-figure setups take three to seven weeks. Either way, your marketer handles 99% of the work.
The platform
What makes Maestra different starts with the data model
Most platforms bolt commerce features onto a generic data model. Maestra built its data model around products, orders, and customer status from day one, which is why ten modules can share it cleanly. That foundation runs at 2M RPM with under 300ms processing.
Including
Your forward-deployed marketer
A dedicated marketer, not a rotating support queue
You get one named forward-deployed marketer who learns your business and stays on your account. They handle strategy, migration, flow building, and testing directly, and they are included in every subscription at no extra cost.
Done-for-you strategy, migration, flows, and A/B tests
Included with every subscription
Shared Slack channel for direct access
Replace your stack
"Each tool we replaced now works better than before"
That is how one E-commerce Director described consolidating onto Maestra. Replacing a scattered stack is not about losing functionality. It is about getting the same jobs done from one unified customer profile instead of several disconnected ones.
Replaces
Klaviyo
Yotpo
Rebuy
Take the platform tour first
See the CDP, the journeys, and the modules in action before you schedule a single call.